Automated User Experience and Clinical Safety Analysis for Developers.
Define your own criteria to guide manual audits and capture feedback from doctors to improve AI models.
Use machine learning to evaluate the clinical safety of AI-assisted conversations and calculate a comparable evaluation score.
Analyze conversations to discover what users love and dislike about your AI assistant, guiding improvements.
Automatic structuring and analysis of data for scientific publications based on human-assistant conversations.